handle openai.AuthenticationError
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@ -1,6 +1,5 @@
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# Load environment variables first
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from dotenv import load_dotenv
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from fastapi.responses import HTMLResponse
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load_dotenv()
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@ -11,6 +10,8 @@ import traceback
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from datetime import datetime
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from fastapi import FastAPI, WebSocket
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import HTMLResponse
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import openai
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from llm import stream_openai_response
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from mock import mock_completion
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from image_generation import create_alt_url_mapping, generate_images
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@ -35,6 +36,10 @@ app.add_middleware(
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# TODO: Should only be set to true when value is 'True', not any abitrary truthy value
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SHOULD_MOCK_AI_RESPONSE = bool(os.environ.get("MOCK", False))
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# Set to True when running in production (on the hosted version)
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# Used as a feature flag to enable or disable certain features
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IS_PROD = os.environ.get("IS_PROD", False)
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app.include_router(screenshot.router)
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@ -71,6 +76,12 @@ async def stream_code(websocket: WebSocket):
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print("Incoming websocket connection...")
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async def throw_error(
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message: str,
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):
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await websocket.send_json({"type": "error", "value": message})
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await websocket.close()
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params = await websocket.receive_json()
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print("Received params")
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@ -177,12 +188,24 @@ async def stream_code(websocket: WebSocket):
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if SHOULD_MOCK_AI_RESPONSE:
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completion = await mock_completion(process_chunk)
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else:
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try:
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completion = await stream_openai_response(
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prompt_messages,
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api_key=openai_api_key,
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base_url=openai_base_url,
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callback=lambda x: process_chunk(x),
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)
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except openai.AuthenticationError as e:
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print("[GENERATE_CODE] Authentication failed", e)
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error_message = (
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"Incorrect OpenAI key. Please make sure your OpenAI API key is correct, or create a new OpenAI API key on your OpenAI dashboard."
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+ (
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" Alternatively, you can purchase code generation credits directly on this website."
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if IS_PROD
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else ""
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)
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)
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return await throw_error(error_message)
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# Write the messages dict into a log so that we can debug later
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write_logs(prompt_messages, completion)
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